This project is a C# wrapper of arcsoft's library.
Stepon.FaceRecognizationCore is for .net core 2.0. It uses CoreCompat/System.Drawing, you should install libgdiplus.
Get app id and sdk key from arcsoft's website (it's free).
There are three main classes to use for recognization:
- FaceDetection for image to detect face location
- FaceTracking for video to detect face location
- FaceRecognize for face's feature extracting and matching
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FaceProcessor is a high level wrapper for above three classes. You can just use this class to complete the face verify task.
Face detecting:
using (var detection = LocatorFactory.GetDetectionLocator("appId", "sdkKey"))
{
var image = Image.FromFile("test.jpg");
var bitmap = new Bitmap(image);
var result = detection.Detect(bitmap, out var locateResult);
using (locateResult)
{
if (result == ErrorCode.Ok && locateResult.FaceCount > 0)
{
using (var g = Graphics.FromImage(bitmap))
{
var face = locateResult.Faces[0].ToRectangle();
g.DrawRectangle(new Pen(Color.Chartreuse), face.X, face.Y, face.Width, face.Height);
}
bitmap.Save("output.jpg", ImageFormat.Jpeg);
}
}
}
Face traking (recommended for video face traking, this just an example for image, check FaceDemo for complete example):
using (var detection = LocatorFactory.GetTrackingLocator("appId", "sdkKey"))
{
var image = Image.FromFile("test.jpg");
var bitmap = new Bitmap(image);
var result = detection.Detect(bitmap, out var locateResult);
using (locateResult)
{
if (result == ErrorCode.Ok && locateResult.FaceCount > 0)
{
using (var g = Graphics.FromImage(bitmap))
{
var face = locateResult.Faces[0].ToRectangle();
g.DrawRectangle(new Pen(Color.Chartreuse), face.X, face.Y, face.Width, face.Height);
}
bitmap.Save("output.jpg", ImageFormat.Jpeg);
}
}
}
Face matching:
using (var proccesor = new FaceProcessor("appid",
"locatorKey", "recognizeKey", true))
{
var image1 = Image.FromFile("test2.jpg");
var image2 = Image.FromFile("test.jpg");
var result1 = proccesor.LocateExtract(new Bitmap(image1));
var result2 = proccesor.LocateExtract(new Bitmap(image2));
//you can persist result1[0].FeatureData to further use
if ((result1 != null) & (result2 != null))
Console.WriteLine(proccesor.Match(result1[0].FeatureData, result2[0].FeatureData, true));
}
This is a complete example to show the using of this library. It use ffmepg(NReco.VideoConverter) to capture IP camera via RTSP. You can also use Emgu.CV(or other library) to capture web camera.